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Building a REST API Client Library in Python for Video Data

DEV Community·ahmet gedik·22 days ago
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#python#api#sdk#tutorial#self#config
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Why Build a Client Library When your video platform talks to the YouTube Data API from multiple scripts -- the cron fetcher, the metadata enricher, the broken link checker -- you end up duplicating HTTP logic everywhere. At DailyWatch , we consolidated all YouTube API interactions into a single Python SDK with retry logic, rate limiting, and caching built in. The Core Client import time import hashlib import json import requests from typing import Optional from dataclasses import dataclass , field from functools import lru_cache @dataclass class APIConfig : api_key : str base_url : str = " https://www.googleapis.com/youtube/v3 " max_retries : int = 3 base_delay : float = 1.0 timeout : int = 15 daily_quota : int = 10000 cache_ttl : int = 3600 # 1 hour class QuotaExhaustedError ( Exception ): pass class YouTubeClient : """ Reusable YouTube Data API client with retry, rate limiting, and caching. """ def __init__ ( self , config : APIConfig ): self . config = config self . session = requests . Session () self .…

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